About Kouper Health

Kouper is redefining how care transitions happen. Backed by General Catalyst, CVS Health Ventures, 25madison, and leading health system partners, we’re on a mission to bridge the care transition gap and fundamentally improve the patient experience — helping people live longer, healthier lives.

Why This Role Is Exciting

As a Full Stack Engineer specializing in MLOps and backend systems, you’ll be at the forefront of applied large language model (LLM) development and backend connectivity. Working closely with the Chief Technology Officer (CTO) and collaborating with product, operations, and clinical teams, you’ll build the infrastructure that powers real-time patient engagement and drives better healthcare outcomes.

You’ll architect scalable backend services and ML deployment pipelines that bring together fragmented healthcare data into a seamless patient experience. In our fast-paced, mission-driven startup environment, you’ll see your work directly impact patients’ lives while helping shape a culture centered on innovation, collaboration, and compassion in healthcare.

Responsibilities

Design, develop, and maintain scalable backend services, and APIs that support our AI-driven patient engagement platform
Build and maintain the infrastructure for deploying, monitoring, and LLM-driven applications in production environments
Collaborate closely with AI/ML engineers to architect systems that seamlessly integrate conversational AI and predictive models into our platform
Lead the design of scalable, extensible backend architectures that can evolve with our product capabilities and growing data requirements
Implement CI/CD pipelines for our application, including automated testing, versioning, and deployment strategies
Build reusable code libraries, components, and frameworks to improve development speed and quality
Implement engineering best practices for secure, scalable, and maintainable code
Leverage cloud services (GCP, Azure, AWS) to build cost-effective, scalable infrastructure for both traditional web services and ML workloads
Participate in code reviews and help establish development standards
Troubleshoot, debug, and resolve issues, ensuring high availability and performance
Work with product, operations, and clinical teams to translate business requirements into technical solutions

Qualifications

5+ years of experience in full stack development, with at least 2 years in a senior level role
Early-stage product experience building from 0 to 1, and rebuilding that 1 into N
Proficiency in Node/Python stack, RDBMS, ReactJS, Express
Strong interest in AI with hands-on experience integrating LLMs into production systems, or strong willingness to learn
Excellent system architecture skills with experience designing extensible, scalable backend systems
Disciplined approach to design and engineering: Clean Code, TDD, CI/CD
Experience working with cross-functional and non-technical business stakeholders and partners
A portfolio of projects where you led engineering efforts

Preferred Qualifications

Experience in healthcare tech or related industries
Familiarity with DevOps practices, containerization (e.g., Docker), and orchestration (e.g., Kubernetes)
Experience with AI model deployment platforms, A/B testing, and monitoring tools
Background in mentoring and coaching engineering teams

What We Offer

Competitive salary and equity package
Flexible work environment and remote options
Comprehensive health, dental, and retirement benefits
The chance to make a significant impact in a mission-driven startup focused on transforming patient care
Location: NYC, SF, or Remote
Expected Start Date: Oct/Nov 2025

$170,000 - $190,000 a year

Senior Full-Stack Engineer (MLOps and Backend)

Job Type